Demonstrating the generation of electricity with Accelerator-Driven Subcritical Reactor (ADSR) technology will incur substantial financial risk both from traditional reactor construction uncertainties and new technology uncertainties such as the reliability of the accelerator system. The sensitivity of the economic value of ADSRs to the reliability of the accelerator system is assessed. The eco...

The economics of climate change involves a vast array of uncertainties, complicating both the analysis and development of climate policy. This study presents the results of the first comprehensive study of uncertainty in climate change using multiple integrated assessment models. The study looks at model and parametric uncertainties for population, total factor productivity, and climate sensiti...

The economics of climate change involves a vast array of uncertainties, complicating our understanding of climate change. This study explores uncertainty in baseline trajectories using multiple integrated assessment models commonly used in climate policy development. The study examines model and parametric uncertainties for population, total factor productivity, and climate sensitivity. It esti...

− This paper discusses the effect of residual components on type A uncertainties determined by multiple linear regression of quadrature homodyne output signals. Primary accelerometer calibrations employing the sineapproximation method allow the determination of the fit uncertainty through the covariance matrix. Frequency components that are not included in the regression model lead to increased...

This work presents a novel implementation of wall temperature measurement by thermoreflectance. The implementation relies on imaging light reflected from an interface between a transparent wall and liquid, and processing the resulting digital images to measure the diameter of the resulting light ring. The system is relatively simple to implement and the validation data indicate that the output ...

Kinetic equations contain uncertainties in their collision kernels or scattering coefficients, initial or boundary data, forcing terms, geometry, etc. Quantifying the uncertainties in kinetic models have important engineering and industrial applications. In this article we survey recent efforts in the study of kinetic equations with random inputs, including their mathematical properties such as...

8 This paper presents a systems analysis perspective that extends the traditional process design 9 framework to green process design and industrial ecology leading to sustainability. For green process 10 design this involves starting the design decisions as early as chemical and material selection stage on 11 one end, and managing and planning decisions at the other end. However, uncertainties ...

This work deals with the fault detection and localization in the case of uncertain nonlinear systems. The presented method uses the diagnosis based on mathematical models. To model nonlinear systems, the multiple model approach is used. This method uses the Takagi-Sugeno fuzzy systems principle to obtain a nonlinear system named multiple models. This modeling principle has the advantage of obta...

Performance degradation assessment of rolling element bearings is vital for the reliable and cost-efficient operation and maintenance of rotating machines, especially for the implementation of condition-based maintenance (CBM). For robust degradation assessment of rolling element bearings, uncertainties such as those induced from usage variations or sensor errors must be taken into account. Thi...

It is of great significance to introduce the conception a sharing economy into electricity industry, which can promote dispatch multiple integrated energy systems. On one hand, it difficult reveal behaviors complex players with multi-energy coupling through traditional centralized optimization method single electric energy. other uncertain fluctuations renewable energy, such as wind power and p...